International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.

Recent technological advances facilitate the reconstruction of complete brain connectomes in small organisms and partial connectomes in mammals, involving the mapping of the network of neurons and ...

(Nanowerk News) Researchers have developed a laser-based artificial neuron that fully emulates the functions, dynamics and information processing of a biological graded neuron. With a signal ...

In a sweeping new map of the adult Drosophila melanogaster brain, researchers at the University of Oxford found that mature ...

Researchers developed a chip-based quantum-dot laser that emulates a biological graded neuron while achieving a signal processing speed of 10 GBaud. WASHINGTON — Researchers have developed a ...